Description: Boundaries of municipalities within Pennsylvania as delineated for the PennDOT Type 10 general highway maps. Additional information comes from the Pennsylvania Bureau of Municipal Services. 2017 Pennsylvania Department of Transportation. Downloadable from: http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=41
Service Item Id: 1d7548e078804745892f75c928a3e918
Copyright Text: Pennsylvania Department of Transportation
Description: County boundaries and demographic information for the U.S. counties. The boundaries are consistent with the tract, block group, and state data sets and are effective at county, regional, and state levels. 2017 U.S. Census Bureau
Description: High-resolution land cover dataset for the Commonwealth of Pennsylvania. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Impervious Surfaces12 - Tree Canopy over RoadsThe complete class definitions and standards can be viewed at the link below.http://goo.gl/THacggThe primary sources used to derive this land-cover layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, and 2013 leaf-on orthoimagery. Ancillary data sources such as LiDAR-derived breaklines for roads and hydrology were used to augment the land-cover mapping. This land-cover dataset is considered current based on data of acquisition for the leaf-on orthoimagery. Land-cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected.This dataset was developed to support land-cover mapping and modeling initiatives in the Chesapeake Bay Watershed and Delaware River Basin. At the time of its publication, it represented the most accurate and detailed land cover map for the Pennsylvania portion of the Chesapeake Bay Watershed
Service Item Id: 1d7548e078804745892f75c928a3e918
Copyright Text: This land-cover dataset was developed by the University of Vermont Spatial Analysis Laboratory. The original development of the algorithms used for this project was done in collaboration with the United States Forest Service. Funding for the Delaware River Basin portion was provided by the William Penn Foundation under a collaborative grant with Shippensburg University. Funding for the Chesapeake Bay Watershed portion was provided by the National Park Service and Environmental Protection Agency under a collaborative grant with the Chesapeake Bay Conservancy.